AI/ML Engineer at Kanerika building AI and agent features for an enterprise SaaS platform in data privacy, data governance and AI governance. Day to day: LLM/agent workflows (LangChain/LangGraph), RAG pipelines, AI guardrails for PII, toxicity and prompt injection, and taking AI features from prototype to production in Python on AWS/Azure.
Compensation
Not disclosed
Location
Hyderabad, India
Work setup
Not specified
Seniority
Not specified
Employment
Full time
Experience
2+ years
Category
Ml / AI
Posted
Skills
accessibility
agentic-ai
ai
analytics
api
aws
aws-bedrock
azure
ci-cd
cloud
data-analytics
data-governance
docker
embeddings
fastapi
fine-tuning
flask
gdpr
generative-ai
git
huggingface
java
langchain
langgraph
llm
machine-learning
mcp
microservices
mlops
nist
nlp
observability
openai
opensearch
pgvector
pinecone
prompt-engineering
python
rag
rpa
saas
sagemaker
semantic-kernel
soc-2
spring
transformers
vector-databases
Must have
Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience
5-8+ years of software engineering experience, including 2-3 years building ML, GenAI or LLM applications in production
Strong programming skills in Python, with experience in FastAPI or Flask
Hands-on experience building agentic AI or LLM-powered features
LLM application development: prompt engineering, RAG, embeddings and vector databases (e.g., pgvector, OpenSearch, Pinecone, Azure AI Search)
Experience with agent frameworks such as LangChain, LangGraph or Semantic Kernel, and familiarity with the Model Context Protocol (MCP)
Experience with AWS Bedrock/SageMaker and Azure OpenAI/Azure AI Foundry
Good understanding of ML and NLP fundamentals, including Hugging Face Transformers
Experience with LLM evaluation frameworks and methods
Familiarity with Git, Docker and CI/CD pipelines
Nice to have
Working knowledge of Java and Spring Boot
Knowledge of AI governance frameworks such as NIST AI RMF and the EU AI Act
Experience with MLOps practices and model fine-tuning
Full description
**AI/ML EngineerAbout KanerikaWho we are:**
Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.
**Awards and Recognitions**
Kanerika has won several awards over the years, including:
CMMI Level 3 Appraised in 2024.
Best Place to Work 2022 & 2023 by Great Place
to Work®.
Top 10 Most Recommended RPA Start-Ups in 2022 by
RPA Today.
NASSCOM Emerge 50 Award in 2014.
Frost & Sullivan India 2021 Technology
Innovation Award for its Kompass composable solution architecture.
Recognized for ISO 27701, 27001, SOC2, and GDPR
compliances.
Featured as Top Data Analytics Services Provider
by GoodFirms.
**Working for us**
Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is
AI/ML Engineer at Kanerika (Hyderabad, India) — aijobsearch
nurtured, and your contributions make a real impact. See the benefits section
below for the perks you’ll get while working for Kanerika.
Locations
We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India).
**Job Location: Hyderabad, Indore and Ahmedabad.Role:**
As an AI/ML Engineer, you will build AI and agent features for an enterprise-grade SaaS platform in the data privacy, data governance and AI governance space. Your work will cover agent-based workflows, AI asset discovery and AI guardrails that detect and enforce controls for PII, toxicity and prompt injection, as well as new AI features taken from prototype to production.
**Key Responsibilities:**
· Build agent-based features using LLMs and frameworks such as LangChain and LangGraph, including tool calling, orchestration and memory.
· Develop AI asset discovery for models, agents, prompts and AI services across cloud and AI platforms.
· Implement guardrail signals and enforcement, including PII detection and redaction, toxicity and content moderation, and prompt-injection and jailbreak detection.
· Build RAG pipelines, prompt templates and evaluation harnesses.
· Evaluate and benchmark models and guardrail classifiers for accuracy, latency and cost.
· Take new AI features from prototype to production for new product initiatives.
· Integrate AI services with backend microservices through well-defined APIs.
· Add observability, logging and monitoring to AI components.
· Work closely with the AI Architect on design and technical decisions.
**What You’ll Bring:**
· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
· 5–8+ years of software engineering experience, including at least 2–3 years building ML, GenAI or LLM applications in production.
· Strong programming skills in Python.
· Hands-on experience building agentic AI or LLM-powered features.
**Mandatory Skills:**
· Strong proficiency in Python, with experience in FastAPI or Flask.
· Experience in LLM application development: prompt engineering, RAG, embeddings and vector databases (e.g., pgvector, OpenSearch, Pinecone, Azure AI Search).
· Hands-on experience with agent frameworks such as LangChain, LangGraph or Semantic Kernel, and familiarity with the Model Context Protocol (MCP).
· Experience with AWS Bedrock/SageMaker and Azure OpenAI/Azure AI Foundry.
· Experience implementing AI safety controls, such as PII detection (e.g., Presidio), content moderation and prompt-injection defense (e.g., NeMo Guardrails, Guardrails AI, Llama Guard).
· Good understanding of ML and NLP fundamentals, including Hugging Face Transformers.
· Experience with LLM evaluation frameworks and methods.
· Familiarity with Git, Docker and CI/CD pipelines.
**Good to Have:**
· Working knowledge of Java and Spring Boot.
· Knowledge of AI governance frameworks such as NIST AI RMF and the EU AI Act.
· Experience with MLOps practices and model fine-tuning.
**Why join us?**
· Build enterprise-grade products in data privacy and AI governance that are used by organizations worldwide.
· Work hands-on with modern technologies across GenAI, agentic AI, cloud (AWS and Azure) and full-stack engineering.
· Learn from experienced architects and engineering leaders through mentorship, design reviews and knowledge-sharing sessions.
· Grow your career with twice-yearly appraisals, certification support and a promote-from-within culture.
· Competitive compensation and comprehensive benefits as a full-time Kanerika employee.
· Be part of an award-winning, CMMI Level 3 appraised data and AI company.
Employee Benefits:
1. Culture:
i. Open Door Policy: Encourages open communication and accessibility to management.
ii. Open Office Floor Plan: Fosters a collaborative and interactive work environment.
iii. Flexible Working Hours: Allows employees to have flexibility in their work schedules.
iv. Employee Referral Bonus: Rewards employees for referring qualified candidates.
v. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.
2. Inclusivity and Diversity:
i. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
ii. Mandatory POSH training: Promotes a safe and respectful work environment.
3. Health Insurance and Wellness Benefits:
i. GMC and Term Insurance: Offers medical coverage and financial protection.
ii. Health Insurance: Provides coverage for medical expenses.
iii. Disability Insurance: Offers financial support in case of disability.
4. Child Care & Parental Leave Benefits:
i. Company-sponsored family events: Creates opportunities for employees and their families to bond.
ii. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
iii. Family Medical Leave: Offers leave for employees to take care of family members' medical needs.
5. Perks and Time-Off Benefits:
i. Company-sponsored outings: Organizes recreational activities for employees.
ii. Gratuity: Provides a monetary benefit as a token of appreciation.
iii. Provident Fund: Helps employees save for retirement.
iv. Generous PTO: Offers more than the industry standard for paid time off.
v. Paid sick days: Allows employees to take paid time off when they are unwell.
vi. Paid holidays: Gives employees paid time off for designated holidays.
vii. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.
6. Professional Development Benefits:
i. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
ii. Mentorship Program: Offers guidance and support from experienced professionals.
iii. Job Training: Provides training to enhance job-related skills.
iv. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.
v. Promote from Within: Encourages internal growth and advancement opportunities.